A comparison of 12 machine learning models developed to predict ploidy, using a morphokinetic meta-dataset of 8147 embryos.

Bamford, Thomas; Easter, Christina; Montgomery, Sue; Smith, Rachel; Dhillon-Smith, Rima K; Barrie, Amy; Campbell, Alison; Coomarasamy, Arri

Bamford, Thomas; Easter, Christina; Montgomery, Sue; Smith, Rachel; Dhillon-Smith, Rima K; Barrie, Amy; Campbell, Alison; Coomarasamy, Arri.

Afiliação

Bamford T; Tommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, UK.
Easter C; Tommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, UK.
Montgomery S; Care Fertility Headquarters, Nottingham, UK.
Smith R; Care Fertility Headquarters, Nottingham, UK.
Dhillon-Smith RK; Tommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, UK.
Barrie A; Care Fertility Headquarters, Nottingham, UK.
Campbell A; Care Fertility Headquarters, Nottingham, UK.
Coomarasamy A; Tommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, College of Medical and Dental Sciences, University of Birmingham, Edgbaston, UK.

Hum Reprod ; 38(4): 569-581, 2023 04 03.

Article em En | MEDLINE | ID: mdl-36825452

Assuntos

Diagnóstico Pré-Implantação; Gravidez; Masculino; Humanos; Feminino; Diagnóstico Pré-Implantação/métodos; Estudos de Coortes; Estudos Prospectivos; Sêmen; Blastocisto; Aneuploidia; Estudos Retrospectivos

Palavras-chave

aneuploid; artificial intelligence; euploid; machine learning; model; morphokinetcs; ploidy

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diagnóstico Pré-Implantação Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Female / Humans / Male / Pregnancy Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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